similar to: sprng 2.0 header file for Rmpi

Hi, I was trying to install the package Rmpi on a hpc cluster running SGE. The command, and the sessionInfo() is as follows: =========================================== > install.packages("Rmpi",dependencies=TRUE) also installing the dependency ‘rsprng’ trying URL ' http://www.ibiblio.org/pub/languages/R/CRAN/src/contrib/rsprng_1.0.tar.gz' Content type

<<insert bug report here>> I cannot install the R package "rsprng" with the following error message: > install.packages("rsprng") trying URL 'http://www.stathy.com/cran/src/contrib/rsprng_0.3-4.tar.gz' Content type 'application/x-tar' length 35934 bytes opened URL ================================================== downloaded 35Kb * Installing

Dear People, This may not be the right place to ask a question about Rmpi, but I don't know of a better one. I am trying to get a simple program working using Rmpi with the model of 1 R master and n C slaves. What I am trying to do is have each of the C slaves generate a random number from U[0,1], and then have the master collect all n numbers as a vector and output it. However even doing

Although this query was inspired by distributed random number generation, one of the questions (#2 below) is a single-machine issue. I call C++ code from R to generate simulated data. I'm doing this on a cluster, and use rmpi and rsprng. While rsprng randomizes R-level random numbers (e.g., from runif), it has no effect on the C code, which is completely SPRNG and MPI ignorant. Currently I

Hi all, I'm trying to get the snow package with mpi working on my linux ubuntu 10.04 machine. When I tried to install it (see below) it already had problems with the dependencies. R version 2.14.0 (2011-10-31) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: x86_64-pc-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You

?Random.user says (in svn trunk) Optionally, functions \code{user_unif_nseed} and \code{user_unif_seedloc} can be supplied which are called with no arguments and should return pointers to the number of seeds and to an integer array of seeds. Calls to \code{GetRNGstate} and \code{PutRNGstate} will then copy this array to and from \code{.Random.seed}. And it offers as an example void

Hello and thanks in advance for your time. I currently have a simulation running on my cluster with the help of snow that relies on global variables being changes regularly to random values. It uses these values, lets call them x1 x2 and x3, in custom functions for logliklyhood and score that gets used in the standard optim function. To get set in the global table on the different

Hello, I plan to use R with my cluster with OpenMPI. I need the packaged 'snow' and 'Rmpi' for that, however, I get an error while downloading and installing them: When I do a: install.packages("Rmpi", dependencies=T) I get this error: checking for mpi.h... no Try to find libmpi.so or libmpich.a checking for main in -lmpi... no libmpi not found.

Full_Name: Emmanuel Charpentier Version: 1.6.1 OS: Linux 2.4.20 / Debian Woody Submission from: (NULL) (80.15.78.96) rsprng depends on libraries available in the "genesis" package. However, even when Genesis is installed, the installation of the source package fails for not finding rsprng.h. It turns out that Debian installs it in a subdirectoru of /usr/include, and that the rsprng

The proper use of SPRNG is a little unclear to me in each of these packages, even more so when I put them all together. My immediate question: in snow I did clusterSetupSRNG. If a later want to (re) set the system to a known seed, how do I do it? That is, I want each distributed process to recreate exactly the same random numbers that it did before; I assume SPRNG assures the streams are

Hi All, I have k identical parallel pieces of code running, each using n.rand random numbers.? I would like to use the same RNG (for now), and set the seeds so that I can guarantee that there are no overlaps in the random numbers sampled by the k pieces of code.? Another side goal is to have reproducibility of my results.? In?the past I have used C with SPRNG for this task, but I'm hoping

Hi, I am having a problem with installing Rmpi package on redhat linux machine. The R I am using is version 2.10.1. Here’s what happens. > install.packages( ''Rmpi'' ) --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk interface ... done trying URL ''http://cran.cnr.Berkeley.edu/src/contrib/Rmpi_0.5-9.tar.gz'' Content type

Hello! I am performing coupling of chains in MCMC and I need the same value of seed for two chains. I will show demo of what I want: R code, which might show my example is: niter <- 3 nchain <- 2 tmpSeed <- 123 for (i in 1:niter) { # iterations for (j in 1:nchain) { # chains set.seed(tmpSeed) a <- runif(1) cat("iter:", i, "chain:", j,

Dear All, I have three classes of questions about generating random numbers with different packages (windows xp 32bit R). . 1. Suppose I would like to use package *foreach*, can I use current Sys.time as a seed? Although I can get the time up to1e-6 second precesion, the code below dose not work well on a local machine with two cores. ################# library(foreach) library(snow)

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Rmpi is not currently available on CRAN, and I don't think it has been for a few months. It is available at http://www.stats.uwo.ca/faculty/yu/Rmpi/ Does anyone know its current status? A few months ago I corresponded with the author, who noted some build problems (specifically on Debian) were the hang up, and seemed to be working on it. I wasn't able to get it to work then (on a

Dear all, I have used the Rmpi package many times before however this time I've installed it as I always do with openMPI tar.gz file direct from the website. I'm installing on my ubuntu 8.10. Linux 2.6.27-11-generic #1 SMP Thu Jan 29 19:28:32 UTC 2009 x86_64 GNU/Linux All i get is: > library(Rmpi) Segmentation fault :~$ Which dumps me back into the shell, and doens't give me much

Dear R-users, Does anyone of you have binary files for the packages rpart.permutation, snow and rsprng. I would like to use them in my classification tree. I know they are still at the 0.x development stage, though. Where can I get information on how to compile tar.gz files? I'm using windows XP with R 2.1.0. Thanks, Jan --------------------------------------------------------------------

Hello All, I'm trying to install rattle from source on a AMD64 machine running etch. I have two packages installed from the etch backport (r-cran-rodbc and r-cran-rsprng) but all the rest installed from source. I'm trying to install rattle, but install.packages("rattle", dependencies=TRUE) Tries to install rggobi, which complains about the version of libggobi. Does

Almost all of the heavy crunching I do in R is like: > for(i in long.list){ + do.something(i) + } > collect.results() Since all the invocations of do.something are independent of one another, there is no reason that I can't run them in parallel. Since my machine has four processors, a natural way to do this is to divide up long.list into 4 pieces and then start 4 jobs, each of which